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遗传代码

于 2022-10-17 发布 文件大小:11.17 kB
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遗传算法的基本思想正是基于模仿生物界遗传学的遗传过程.它把问题的参数用基因代表,把问题的解用染色体代表(在计算机里用二进制码表示),从而得到一个由具有不同染色体的个体组成的群体.这个群体在问题特定的环境里生存竞争,适者有最好的机会生存和产生后代.后代随机化地继承了父代的最好特征,并也在生存环境的控制支配下继续这一过程.群体的染色体都将逐渐适应环境,不断进化,最后收敛到一族最适应环境的类似个体,即得到问题最优的解.值得注意的一点是,现在的遗传算法是受生物进化论学说的启发提出的,这种学说对我们用计算机解决复杂问题很有用,而它本身是否完全正确并不重要

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